Toward an ethics of decolonizing allyship in climate organizing: reflections on Extinction Rebellion Vancouver
Bibliographic record
Abstract
Since launching in the UK in 2018, Extinction Rebellion (XR) has become a global social movement that uses mass civil disobedience to pressure governments to take immediate action on the climate crisis. While XR has shifted the conversation on climate change, it has also been critiqued for its lack of attention to privilege and oppression, and for its ‘apolitical’ approach to climate organizing. In this article, we argue that XR must develop an intersectional approach in order to address the climate crisis. In particular, we reflect on our experiences as participants in XR-Vancouver, located on unceded Indigenous territory in the settler colonial state of Canada. Settler colonialism in Canada is intertwined with the climate and ecological crises, as Canada's status as a petrostate is built on the dispossession of Indigenous Peoples through a strategy of racial extractivism. To attend to these dynamics, we build on Kyle Powys Whyte's concept of ‘decolonizing allyship’ and suggest three ethics – of relational accountability, care, and incommensurability – that settler-led movements like XR can cultivate. We conclude by inviting XR to (re)engage with a ‘politics of refusal’ that subverts the state and allows XR to collectively enact what different systems (rooted in intersectional, decolonizing allyship) could look like.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".